bigMap: Big Data Mapping

Unsupervised clustering protocol for large scale structured data, based on a low dimensional representation of the data. Dimensionality reduction is performed using a parallelized implementation of the t-Stochastic Neighboring Embedding algorithm (Garriga J. and Bartumeus F. (2018), <arXiv:1812.09869>).

Version: 2.0.0
Depends: R (≥ 3.4.0)
Imports: Rcpp (≥ 0.12.0), bigmemory (≥ 4.5.0), parallel (≥ 3.5.0), RColorBrewer, colorspace
LinkingTo: Rcpp, RcppArmadillo, BH, bigmemory
Suggests: snow (≥ 0.4-2), Rmpi (≥ 0.6-7), knitr, rmarkdown
Published: 2019-02-01
Author: Joan Garriga [aut, cre], Frederic Bartumeus [aut]
Maintainer: Joan Garriga <jgarriga at ceab.csic.es>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: NEWS
CRAN checks: bigMap results

Downloads:

Reference manual: bigMap.pdf
Vignettes: The bigMap R-package: quick reference
Package source: bigMap_2.0.0.tar.gz
Windows binaries: r-devel: bigMap_2.0.0.zip, r-release: bigMap_2.0.0.zip, r-oldrel: not available
OS X binaries: r-release: bigMap_2.0.0.tgz, r-oldrel: not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bigMap to link to this page.